Feature extraction from 2D laser range data for indoor navigation of aerial robot

Xiang He; Zhihao Cai

doi:10.1109/CAC.2013.6775748

Feature extraction from 2D laser range data for indoor navigation of aerial robot

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper several algorithms of segmentation are presented and a fast and information-lossless method of segmentation and feature extraction is discussed. Different methods are compared using the real data collected from the 2D laser range finder in the laboratory. The feature extraction here uses only line segments to express the environment. A 3D map is generated, simulating the flight of aerial robot.

Original language	English
Pages	306-309
Number of pages	4
DOIs	https://doi.org/10.1109/CAC.2013.6775748
State	Published - 2013
Event	2013 Chinese Automation Congress, CAC 2013 - Changsha, China Duration: 7 Nov 2013 → 8 Nov 2013

Conference

Conference	2013 Chinese Automation Congress, CAC 2013
Country/Territory	China
City	Changsha
Period	7/11/13 → 8/11/13

Keywords

feature extraction
indoor
laser
navigation
segmentation

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10.1109/CAC.2013.6775748

Cite this

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title = "Feature extraction from 2D laser range data for indoor navigation of aerial robot",

abstract = "In this paper several algorithms of segmentation are presented and a fast and information-lossless method of segmentation and feature extraction is discussed. Different methods are compared using the real data collected from the 2D laser range finder in the laboratory. The feature extraction here uses only line segments to express the environment. A 3D map is generated, simulating the flight of aerial robot.",

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author = "Xiang He and Zhihao Cai",

year = "2013",

doi = "10.1109/CAC.2013.6775748",

language = "英语",

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note = "2013 Chinese Automation Congress, CAC 2013 ; Conference date: 07-11-2013 Through 08-11-2013",

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AU - He, Xiang

AU - Cai, Zhihao

PY - 2013

Y1 - 2013

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AB - In this paper several algorithms of segmentation are presented and a fast and information-lossless method of segmentation and feature extraction is discussed. Different methods are compared using the real data collected from the 2D laser range finder in the laboratory. The feature extraction here uses only line segments to express the environment. A 3D map is generated, simulating the flight of aerial robot.

KW - feature extraction

KW - indoor

KW - laser

KW - navigation

KW - segmentation

UR - https://www.scopus.com/pages/publications/84898982834

U2 - 10.1109/CAC.2013.6775748

DO - 10.1109/CAC.2013.6775748

M3 - 论文

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SP - 306

EP - 309

T2 - 2013 Chinese Automation Congress, CAC 2013

Y2 - 7 November 2013 through 8 November 2013

ER -

Feature extraction from 2D laser range data for indoor navigation of aerial robot

Abstract

Conference

Keywords

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